Member of the Month, Dr. Pedram Hassanzadeh studies turbulent flows and chaotic dynamical systems in complex natural phenomena and engineering systems using numerical, mathematical, and deep learning methods, guided by observational and experimental data. His work is often motivated by theoretical and applied problems related to environment and energy. Examples of problems of interest are environmental and geophysical flows, extreme weather events (e.g., heat waves, hurricanes), reduced-order modeling, atmospheric turbulence, and climate modeling. His research has been supported by NASA, NSF, ONR, National Academy of Sciences, Schmidt Futures, Mitsubishi Electric Research Lab, Microsoft AI, Rice University Creative Ventures, and Rice Houston Engagement and Recovery Effort.
Dr. Hassanzadeh’s honors and awards include a CAREER Award from National Science Foundation (NSF), Young Investigator Award from the Office of Naval Research (ONR), Early-Career Research Fellowship from the National Academy of Sciences Gulf Research Program, Ziff Environmental Fellowship from the Harvard University Center for the Environment, NSERC Postgraduate Scholarship from the Natural Sciences and Engineering Research Council of Canada, Geophysical Fluid Dynamics Fellowship from the Woods Hole Oceanographic Institution, and Outstanding Preliminary Examination Award and Jonathan Laitone Memorial Scholarship from the Department of Mechanical Engineering of UC Berkeley.
What is your favorite book?
Among the books I have read in the past few years, my favorite is Mario Livio’s “Brilliant Blunders: From Darwin to Einstein - Colossal Mistakes by Great Scientists That Changed Our Understanding of Life and the Universe”. I guess the title gives you an idea of what is in the book.
How do you explain your research in one sentence?
I use fluid physics, applied math, large-scale computing, and statistical learning to develop better models and better understanding of environmental turbulent flows for applications involving climate change, extreme weather, and renewable energy. |
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Data4Good & Responsible AI-Automated Data Collection: How Do You Ensure Data4good?
November 30th | 10:00 - 11:30 AM | Post Conference Workshop | 2021 Ken Kennedy AI and Data Science Conference
Microsoft Israel R&D Centre’s Chief Scientist Dr. Tomer Simon alongside Bright Data’s CEO Or Lenchner will explore the different questions raised when approaching data at a mammoth scale. They will also discuss interesting cases that use and leverage data for battling climate change, fighting social injustice, and even saving lives.
The focus of this workshop is to champion a “do no harm” approach when accessing and approaching data using AI and take a closer look at the ethical, compliance-driven processes and questions one must address when doing so, even when approaching what is considered to be “public domain data.”
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D2K Showcase
Duncan Hall | December 1, 2021 | 5:00PM - 7:00PM
Save the Date for the Fall 2021 D2K Showcase on Wednesday, December 1 at 5:00PM (CT) and celebrate the impact students are making through data science!
- Explore D2K students’ end-of-semester projects covering a wide range of data science topics including computer vision, natural language processing, deep learning applications, web scraping, time series analysis, signal processing and more.
- Interact with Rice students from the D2K Capstone, Introduction to Data Science, and Rice Data Science Club's DEEP program, and learn more about their projects in the poster session.
- Vote for your favorite project/team to compete for cash prizes!
Learn more and RSVP here.
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